For week 29, #MakeoverMonday we are visualizing the changing frequency of Americans. Original Article was published by @washingtonpost and data is sourced from General Social Survey. Here is the original chart:

Data is available on data.world

Whats Good

  • Title and subtitle for the chart is precise
  • First and last year is highlighted in bold
  • Labels explaining what chart means

What I did:

  • Continued using original line chart as it was simple and crisp
  • Aggregated the frequency into 3 categories from the data
  • Allowed users to highlight Sex Frequency using parameter actions
  • Inspired from design used by Andy’s viz
  • Tooltip to show % response for all years
  • excluded 2012 data as it appeared to be wrong

Here is the gif of the visualisation I created (Click on image to get interactive version):

Click here for Tableau file

Thanks Eva Murray , Sarah Bartlett and Andy Kriebel for this workout.

Happy Data Visualisation!!!!

Thanks for visiting this post. Please do let me know your feedback or if you have any questions about the blog do not hesitate to contact me on twitter (@Desaimithun)

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Last week on #Workoutwednesday2019 challenge was given by Curtis Harris and it was about trying out one of the material design concept for data visualisation. It was simple line chart with few twists to highlight temperature of the city and highlighting current month of the year.

Requirements:

  • Dashboard size 1000×800
  • All elements should be in a vertical container, except for the filter
  • Provide 150px padding on all sides of the vertical container
  • Make sure values display the degrees symbol as a suffix
  • Axis should display marks every 20 degrees, and should provide context to the reader at the top most mark
  • Add a reference line for the current month, that will update automatically as the year goes on
  • Add a circle over the point in the lines that represents the current month’s average temp
  • Add a label for the hottest city, in the current month, for all of the cities in the view
    • If you filter out Phoenix, the label should move to Salt Lake City
  • Add a simple color legend that updates as the filter changes
  • Turn off tooltips – not necessary for the challenge

Data for the workout can be downloaded from here

Here is my output for the challenge (Click on gif for interactive version):

I will try to provide step by step guide to re-create this dashboard and complete the challenge:

STEP 1: Creating calculated fields

After Importing the file into Tableau, we need to create 2 calculated fields:

First one is to identify the current month (month of the year):

Second one is to calculate average temperature for the current month:

Step 2: Create sheet with city names

Drag City to column and color in marks area then sort by average temperature

Add filter of city and apply for all the sheets (as shown below image)

Step 3: Create sheet with Line chart and reference line:

Drag Month to columns, select to show months and set to continuous by right clicking the month

Drag Average temperature, set to minimum and select line chart from marks area then drag city column to color

Drag our calculated field Today’s month temp to rows, set to minimum and select circle from marks area then drag city column to color and Today’s month column to detail area.

Then select dual axis by right clicking Min(Today’s Month temp) and synchronize the axis.

Add Reference Line to point degrees in Fahrenheit and add reference line for current month

Format the label to display maximum temperature of the selected filters of city

Step 4: Integrate into dashboard

In dashboard select vertical object and drag to dashboard then add inner padding of 150 from each side.

Add the title, Line chart sheet, and city sheet to make dashboard look like below screen shot:

And we are ready with final visualization as show above.

Click here for Tableau file

Thanks Curtis Harris for this workout

Happy Data Visualisation!!!!

Thanks for visiting this post. Please do let me know your feedback or if you have any questions about the blog do not hesitate to contact me on twitter (@Desaimithun)

Do subscribe to Tabvizexplorer.com to keep receive regular updates.

For #MakeoverMonday week 32, The makeover viz was about how much countries spends on Research & Development and the original viz was shared on HowMuch.net

Here is the original viz :

Original Image

Data is available on data.world and source of data was UNESCO Institute for Statistics

Whats good?

  • Clear Legends on specifying what color in the circle means in terms of spends
  • Design is eye-catching with too much of information for an individual to understand
  • Source of data is mentioned
  • Title which is self explanatory about the viz

Here is what I did:

  • After trying various methods to visualize this data, I finalize one approach of showing Top 10 countries by spends
  • Additionally I wanted show trend on spends by this countries and also compare 2 years i.e. 2015 vs 2014 to show the increase in spends by countries on R&D (Exception was India as dataset didn’t have 2012 to 2014 data)
  • While building the viz and trying to figure out visualization I came across this viz from Rody Zakovich and tried to replicate the similar design.

Here is the Image of the visualisation I created (Click on image to get interactive version):

Click here for Tableau file

Thanks Eva Murray and Andy Kriebel for this workout.

Happy Data Visualisation!!!!

Thanks for visiting this post. Please do let me know your feedback or if you have any questions about the blog do not hesitate to contact me on twitter (@Desaimithun)

Do subscribe to Tabvizexplorer.com to keep receive regular updates.